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elements like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) to secure hardware components. Embedded Trust Protocols: Design protocols that establish and maintain trust within
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systems that continuously assess the health of components, predicting failures before they occur. Compliance Assurance Techniques: Design AI-driven methods to ensure ongoing compliance with industry
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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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more about tuition fees. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members
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being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff
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prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining useful life of electronic components, supporting studies in electronic system
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the remaining useful life of electronic components, supporting studies in electronic system reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing
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field, as well as being part of our strong and dynamic research centre at Cranfield University. Cranfield is an exclusively postgraduate university that is a global leader for transformational research
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experienced on mechanical components or structures. In this research, analytical and numerical modelling will be performed on a structure with different boundary conditions. The structure will be loaded
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it can also increases the electrical conductivity of composites. As a part of this research project we will develop joint UK projects with aerospace, automotive, marine, and wind turbine manufacturers